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» Extraction of user preferences from a few positive documents
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IRAL
2003
ACM
13 years 10 months ago
Extraction of user preferences from a few positive documents
In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
Byeong Man Kim, Qing Li, Jong-Wan Kim
FSKD
2005
Springer
98views Fuzzy Logic» more  FSKD 2005»
13 years 11 months ago
Extraction of Representative Keywords Considering Co-occurrence in Positive Documents
In linear text classification, user feedback is usually used to tune up the representative keywords (RK) for a certain class. Despite some algorithms (e.g. Rocchio) deal well with...
Byeong Man Kim, Qing Li, KwangHo Lee, Bo-Yeong Kan...
CIKM
2009
Springer
14 years 4 days ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
ISMIR
2005
Springer
148views Music» more  ISMIR 2005»
13 years 11 months ago
Foafing the Music: A Music Recommendation System based on RSS Feeds and User Preferences
In this paper we give an overview of the Foafing the Music system. The system uses the Friend of a Friend (FOAF) and Rich Site Summary (RSS) vocabularies for recommending music t...
Òscar Celma, Miquel Ramírez, Perfect...
CHI
2001
ACM
14 years 5 months ago
Robust annotation positioning in digital documents
Increasingly, documents exist primarily in digital form. System designers have recently focused on making it easier to read digital documents, with annotation as an important new ...
A. J. Bernheim Brush, David Bargeron, Anoop Gupta,...